Advertisement

Advanced satellite radar interferometry for deformation monitoring and infrastructure control in open-cast mines and oil/gas fields

  • Janusz Wasowski
  • Fabio Bovenga
  • Raffaele Nutricato
  • Davide Oscar Nitti
  • Maria Teresa Chiaradia
Technical Paper
  • 50 Downloads

Abstract

We focus on the use of advanced multi-temporal interferometry (MTI) for mapping and monitoring of ground deformations caused by open-cast mining and hydrocarbon production. We also show how MTI can be exploited to monitor the stability of infrastructure in adjacent areas. Open-cast mines represent a good target for MTI, because they are (1) often very large (from few to tens of km2); (2) free of or covered by sparse vegetation; (3) require long-term regular monitoring. The operational deformation monitoring via MTI can now rely on free of charge medium-resolution Sentinel-1 data, consistently and regularly acquired by the European Space Agency (ESA) since 2014. To illustrate the application potential of MTI based on Sentinel-1 data, we present the case study of the Belchatow mine (Poland), one of the largest open-cast mines in Europe. We stress that thanks to wide-area coverage; space-borne MTI represents a cost-effective approach to monitoring ground/slope instability hazards in large open pits, as well as the stability of the associated engineering structures and facilities. On-land oil and gas fields are also often huge and ground deformations induced by their exploitations can be profitably targeted by MTI. This is illustrated through an example of MTI application from the Middle East that relies on high-resolution (3 m) radar data. The example highlights the possibility of obtaining extremely dense (spatially continuous) information, which is important for monitoring complex ground deformations caused by oil field exploitation.

Keywords

Radar interferometry Deformation monitoring Open-cast mine Oil field Infrastructure stability 

Notes

Acknowledgements

Sentinel-1 and TerraSAR-X data provided, respectively, by the European Space Agency (ESA) and German Space Agency (DLR).

References

  1. 1.
    Bally P (2013) Satellite earth observation for geohazard risk management: The Santorini conference, Santorini, Greece, 21–23 May 2012. ESA Publication STM-282, Paris.  https://doi.org/10.5270/esa-geo-hzrd-2012 CrossRefGoogle Scholar
  2. 2.
    Bednarczyk Z (2016) Slope instabilities in Polish opencast mines. In: Aversa S et al (eds) Landslide and engineered slopes: experience, theory and practice. CRC Press, Boca Raton, pp 371–379Google Scholar
  3. 3.
    Bednarczyk Z (2017) Landslide monitoring and counteraction technologies in Polish lignite opencast mines. In: Mikoz M et al (eds) Advancing culture of living with landslides, landslides in different environments, vol 5. Springer, Berlin, pp 33–43CrossRefGoogle Scholar
  4. 4.
    Bovenga F, Nutricato R, Refice A, Wasowski J (2006) Application of multi-temporal differential interferometry to slope instability detection in urban/peri-urban areas. Eng Geol 88(3–4):218–239CrossRefGoogle Scholar
  5. 5.
    Bovenga F, Refice A, Nutricato R, Guerriero L, Chiaradia MT (2005) SPINUA: a flexible processing chain for ERS/ENVISAT long term Interferometry. In: Proceedings ESA-ENVISAT symposium, 6–10 Sept 2004, Salzburg, Austria. ESA Special Publication, SP-572, April 2005, CDGoogle Scholar
  6. 6.
    Bovenga F, Wasowski J, Nitti DO, Nutricato R, Chiaradia MT (2012) Using Cosmo/SkyMed X-band and ENVISAT C-band SAR interferometry for landslide analysis. Remote Sens Environ 119:272–285CrossRefGoogle Scholar
  7. 7.
    Bovenga F, Nitti DO, Fornaro G, Radicioni F, Stoppini A, Brigante R (2013) Using C/X-band SAR interferometry and GNSS measurements for the Assisi landslide analysis. Int J Remote Sens 34(11):4083–4104CrossRefGoogle Scholar
  8. 8.
    Colesanti C, Wasowski J (2006) Investigating landslides with space-borne synthetic aperture radar (SAR) interferometry. Eng Geol 88(3–4):173–199CrossRefGoogle Scholar
  9. 9.
    Ferretti A (2014) Satellite InSAR data: reservoir monitoring from space. EAGE Publications, HoutenGoogle Scholar
  10. 10.
    Ferretti A, Prati C, Rocca F (2001) Permanent scatterers in SAR interferometry. IEEE Trans Geosci Remote Sens 39(1):8–20CrossRefGoogle Scholar
  11. 11.
    Fielding EJ, Blom RG, Goldstein RM (1998) Rapid subsidence over oil fields measured by SAR interferometry. Geophys Res Lett 25(17):3215–3218CrossRefGoogle Scholar
  12. 12.
    Ketelaar VBHG (2009) Satellite radar interferometry: subsidence monitoring techniques. Springer, BerlinCrossRefGoogle Scholar
  13. 13.
    Paradella WR, Ferretti A, Mura JC, Colombo D, Gama FF, Tamburini A, Santos AR, Novali F, Galo M, Camargo PO, Silva AQ, Silva GG, Silva A, Gomes LL (2015) Mapping surface deformation in open pit iron mines of Carajás Province (Amazon Region) using an integrated SAR analysis. Eng Geol 193:61–78CrossRefGoogle Scholar
  14. 14.
    Stancliffe RPW, van der Wooij MWA (2001) The use of satellite-based radar interferometry to monitor production activity at the cold lake heavy oil field, Alberta, Canada. Am Assoc Pet Geol Bull 85:781–793Google Scholar
  15. 15.
    Tamburini A, Bianchi M, Giannico C, Novali F (2010) Retrieving surface deformation by PSInSAR™ technology: a powerful tool in reservoir monitoring. Int J Greenh Gas Control 4:928–937CrossRefGoogle Scholar
  16. 16.
    Tomás R, Romero R, Mulas J, Marturià JJ, Mallorquí JJ, Lopez-Sanchez JM, Herrera G, Gutiérrez F, González PJ, Fernández J, Duque S, Concha-Dimas A, Cocksley G, Castañeda C, Carrasco D, Blanco P (2014) Radar interferometry techniques for the study of ground subsidence phenomena: a review of practical issues through cases in Spain. Environ Earth Sci 71:163–181CrossRefGoogle Scholar
  17. 17.
    Vanhasselt JP (1992) Reservoir compaction and surface subsidence resulting from oil and gas-production: a review of theoretical and experimental research approaches. Geol Mijnb 71(2):107–118Google Scholar
  18. 18.
    Wasowski J, Bovenga F (2014) Investigating landslides and unstable slopes with satellite multi temporal interferometry: current issues and future perspectives. Eng Geol 174:103–138CrossRefGoogle Scholar
  19. 19.
    Wasowski J, Bovenga F (2014) Remote sensing of landslide motion with emphasis on satellite multitemporal interferometry applications: an overview. In: Davies T (ed) Landslide hazards, risks and disasters. Elsevier, New York.  https://doi.org/10.1016/B978-0-12-396452-6.00011-2 CrossRefGoogle Scholar
  20. 20.
    Wasowski J, Bovenga F, Nutricato R, Nitti DO, Chiaradia MT (2017) High resolution satellite multi temporal interferometry for monitoring infrastructure instability hazards. Innov Infrastruct Solut 2:27.  https://doi.org/10.1007/s41062-017-0077-4 (ISSN 2364-4176) CrossRefGoogle Scholar
  21. 21.
    Wasowski J, Giordan D, Singhroy V (2016) Remote sensing. In: Bobrowsky PT, Marker BR (eds) Encyclopedia of engineering geology-earth sciences series. Springer, Berlin, pp 1–4.  https://doi.org/10.1007/978-3-319-12127-7_235-1 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.CNR-IRPIBariItaly
  2. 2.CNR-ISSIABariItaly
  3. 3.GAPsrl c/o Department of PhysicsUniversity/Polytechnics of BariBariItaly
  4. 4.Department of PhysicsUniversity/Polytechnics of BariBariItaly

Personalised recommendations